The Transferability of Downsamped Sparse Graph Convolutional Networks

Qinji Shu, Hang Sheng, Feng Ji +2

To accelerate the training of graph convolutional networks (GCNs) on real-world large-scale sparse graphs, downsampling methods are commonly employed as a preprocessing step. Howev…